pr-descriptions

pr-descriptions is a cursor rule for coding agents from nlewis84/ai-rules. It costs 38 tokens per session (217 once invoked), scanned A, original, GPL-3.0.

Rules for writing short, structured descriptions for GitHub pull requests. A pull request is a proposed code change submitted for review.

In plain words
What is it for?
Use it when preparing pull request summaries, issue links, solution explanations, and testing instructions.
Why use it?
It helps reviewers quickly understand the related issue, the change made, and how it was tested.

Cursor rule

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/nlewis84/ai-rules/pr-descriptions
Clone the repo
git clone --depth 1 https://github.com/nlewis84/ai-rules

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pr-descriptions

README.md
[![agentmods](https://agentmods.dev/badge/rules/nlewis84/ai-rules/pr-descriptions.svg)](https://agentmods.dev/rules/nlewis84/ai-rules/pr-descriptions)
Your own site
<a href="https://agentmods.dev/rules/nlewis84/ai-rules/pr-descriptions"><img src="https://agentmods.dev/badge/rules/nlewis84/ai-rules/pr-descriptions.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 217 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00038 $0.00217
Opus 5 $0.00019 $0.00109
Sonnet 5 $0.00008 $0.00043
Haiku 4.5 $0.00004 $0.00022

Measured 4d ago against content hash fb32183071a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-descriptions scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

pr-descriptions.mdc · 30 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 30 lines · 38 tokens per session scan A fb32183071a6

Subscribe to this mod's changes

pr-descriptions is a cursor rule published in the GitHub repository nlewis84/ai-rules (3 stars, last pushed 10mo ago), licensed GPL-3.0. It adds 38 tokens to every session and 217 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.